A Data-Driven Approach to Physical Fatigue Management Using Wearable Sensors to Classify Four Diagnostic Fatigue States

Physical exercise contributes to the success of rehabilitation programs and rehabilitation processes assisted through social robots. However, the amount and intensity of exercise needed to obtain positive results are unknown. Several considerations must be kept in mind for its implementation in reha...

Full description

Autores:

Pinto Bernal, Marìa J.
Cifuentes, Carlos A.
Perdomo, Oscar
Rincón Roncancio, Mónica
Múnera, Marcela

Tipo de recurso:

Article of journal

Fecha de publicación:

2021

Institución:

Escuela Colombiana de Ingeniería Julio Garavito

Repositorio:

Repositorio Institucional ECI

Idioma:

eng

OAI Identifier:

oai:repositorio.escuelaing.edu.co:001/3229

Acceso en línea:

https://repositorio.escuelaing.edu.co/handle/001/3229
https://repositorio.escuelaing.edu.co/

Palabra clave:

Análisis de datos fácticos
Factual data analysis
Fatiga
Fatigue
Programas de rehabilitación
Rehabilitation programs
Aprendizaje automático (Inteligencia artificial)
Machine learning
fatigue diagnosis
classification models
Inertial measurement units
EMG
Physical exercise
Diagnóstico de fatiga
Modelos de clasificación
Unidades de medida inerciales
Ejercicio fisico

Rights

closedAccess

License

http://purl.org/coar/access_right/c_14cb